US11294966B2 - Method and apparatus for pushing search results, an apparatus and non-volatile computer storage medium - Google Patents
Method and apparatus for pushing search results, an apparatus and non-volatile computer storage medium Download PDFInfo
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- US11294966B2 US11294966B2 US15/534,452 US201515534452A US11294966B2 US 11294966 B2 US11294966 B2 US 11294966B2 US 201515534452 A US201515534452 A US 201515534452A US 11294966 B2 US11294966 B2 US 11294966B2
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9538—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
Definitions
- the present disclosure relates to the technical field of the Internet technologies, and particularly to a method and apparatus for pushing search results, an apparatus and a non-volatile computer storage medium.
- the entity-searching technology means that the user inputs a key word, and a search engine searches for the key word according to a fixed frequency and pushes search results to the user.
- the search engine needs to frequently push search results to the user, so this seriously wastes the user's network resources.
- a plurality of aspects of the present disclosure provide a method and apparatus for pushing search results, an apparatus and a non-volatile computer storage medium, to reduce network resources consumed by pushing the search results to the user.
- a method for pushing search results comprising:
- an apparatus for pushing search results comprising:
- a searching module configured to perform real-time search according to the user's key word to obtain current search results
- a statistics module configured to perform statistics of access heat of each content in the current search results
- an obtaining module configured to, from the current search results, content whose access heat meets heat requirements, as content to be pushed;
- a pushing module configured to push the content to be pushed to the user.
- an apparatus comprising
- processors one or more processors
- a non-volatile computer storage medium in which one or more programs are stored, an apparatus being enabled to execute the following operations when said one or more programs are executed by the apparatus:
- real-time search is performed according to the user's key word and a search result is pushed to the user, and the user may obtain the desired information in time.
- statistics is performed for the access heat of each content in the current search results, content whose access heat meets the heat requirement is obtained from the current search results and pushed to the user as the pushed content, and this is equivalent to screening the search results. This may reduce the number of search results pushed to the user, reduce network resources consumed in pushing the search result to the user, and facilitate the saving of the user's network resources.
- FIG. 1 is a flow chart of a method of pushing search results according to an embodiment of the present disclosure
- FIG. 2 is a block diagram of an apparatus for pushing search results according to an embodiment of the present disclosure
- FIG. 3 is a block diagram of an apparatus for pushing search results according to another embodiment of the present disclosure.
- FIG. 1 is a flow chart of a method of pushing search results according to an embodiment of the present disclosure. As shown in FIG. 1 , the method comprises:
- the search engine performs real-time search according to the user's key word, and pushes the search results to the user so that the user obtains the desired information in time.
- a mode of implementing real-time search is as follows: pre-setting a trigger condition for real-time search, and enabling the search engine to perform search according to the user's key word every time when the trigger condition for the real-time search is satisfied, wherein the trigger condition for the real-time search may be set adaptively according to specific application scenario. Illustration is presented by way of example.
- the trigger condition for the real-time search may be a preset search frequency.
- the search engine cyclically performs search according to the preset search frequency and the user's key word to implement real-time search.
- the search frequency may be searching once every two minutes, or every five minutes, or the like.
- the trigger condition for the real-time search may be a preset search times threshold in a unit time.
- the search engine performs search not less than the search times threshold according to the user's key word in the unit time according to needs, to implement the real-time search.
- the search times threshold in the unit time may be 10,000 times per hour or 200 times per minutes, or the like.
- the trigger condition for the real-time search may further be some events, for example, the search frequency of the key word exceeds a threshold, or the user browses the current search results.
- the search results are not directly pushed to the user as in the prior art, but filtered according to access heat of each content in the search results to obtain partial content whose access heat meets heat requirements and push it to the user, to reduce the number of pushed results and thereby reduce network resources consumed in pushing search results to the user, and save the user's network resources.
- the search results are screened based on access heat, generally the content whose access heat meets the heat requirements belongs to content with higher value, the user only would like to click and view content with higher value, and content whose access heat does not meet the heat requirement generally belongs to content with lower value or without value. Therefore, the number of search results pushed to the user in the present embodiment is reduced, but the content pushed to the user all are content with higher value.
- the search engine receives the user-input key word, and performs real-time search according to the user's key word to obtain the current search results; performs statistics of the access heat of each content in the current search results, and obtains from the current search results content whose access heat meets the heat requirements as the content to be pushed; and pushes the content to be pushed to the user.
- the search engine Before performing the access heat of each content in the current search results, the search engine may judge whether the current search results have new content as compared with at least one search result before the current search results obtained by the search engine performing real-time search according to the user's key word; if the judgment result is yes, this means that the current search results have new content as compared with at least one previous search result. Since new content appears, it is determined that the current search results need to be pushed to the user so that the user obtains new content in time; on the contrary, if the judgment result is no, this means that the current search results do not have new content as compared with at least one previous search result, and means that the content in the current search results has already been pushed to the user during the previous pushing procedures.
- the current search results may not be pushed to the user. This may save the user's network resources, lessen unpleasure caused by repeated pushing of the same content to the user, improve the user's experience, and meanwhile facilitate saving the processing resources of the search engine.
- the search engine After it is determined that the current search results need to be pushed to the user, the search engine performs subsequent operations of performing statistics of the access heat of each content in the current search results and obtaining the content to be pushed according to the access heat and pushing the content to the user, thereby lessening the processing burden of the search engine and saving resources.
- the search engine may perform deduplication processing for the at least one search result before the current search results.
- Said deduplication processing refers to removing the same content existing in each search result in at least one search result before the current search results.
- Deduplication may reduce the number of content compared with the current search results and facilitate lessening the processing burden of the search engine. For example, as for each search result, comparison may be performed according to the context of the key word to remove the repeated content (mainly webpages) in the search results.
- the at least one search result before the current search results may include all search results before the current search results, or may include partial search results before the current search results, for example may be the first search result.
- search results subsequently obtained from the real-time search are all compared with the first search result. If different new content appears, the flow shown in FIG. 1 will be executed to push the search result to the user.
- performing statistics of the access heat of each content in the current search results is specifically as follows: extracting from the current search results new content different from at least one previous search result, and performing statistics of the access heat of the new content. Only performing statistics of the access heat of the new content facilitates lessening the processing burden of the search engine and improving the statistics efficiency.
- obtaining, from the current search results, the content whose access heat meets the heat requirements as the content to be pushed is specifically obtaining, from the new content, the content whose access heat meets the heat requirements as the content to be pushed.
- the access heat of content in the search results may be reflected by a click rate. Based on this, performing statistics of the access heat of each content in the current search results is specifically performing statistics of the click rate of each content in the current search results.
- the heat requirement may be a click threshold. If the click rate of the content in the search results is larger than the click threshold, it is believed that the content meets the heat requirement; on the contrary, it is believed that the content does not meet the heat requirement.
- the access heat of content in the search results may be reflected by a read stay average duration.
- performing statistics of the access heat of each content in the current search results is specifically performing statistics of the read stay average duration of each content in the current search results.
- the heat requirement may be a read duration threshold. If the read stay average duration of the content in the search results is larger than the read duration threshold, it is believed that the content meets the heat requirement; on the contrary, it is believed that the content does not meet the heat requirement.
- the read stay average duration refers to an average value of read stay durations of all users clicking and reading the same content upon reading the content.
- the user's read stay duration for a certain content refers to a duration of stay on a page where the content lies after the user clicks the content.
- the access heat of content in the search results may be reflected by a click rate and a read stay average duration. Based on this, performing statistics of the access heat of each content in the current search results is specifically performing statistics of the click rate and the read stay average duration of each content in the current search results.
- the heat requirement may be a click threshold and a read duration threshold. If the click rate of the content in the search results is larger than the click threshold and the read stay average duration upon reading the content is larger than the read duration threshold, it is believed that the content meets the heat requirement; in other cases, it is believed that the content does not meet the heat requirement.
- the aforesaid heat requirement may be pre-configured locally at the search engine.
- the user upon performing real-time search each time, the user inputs the key word and inputs an instruction to enable the search engine to determine the heat requirement.
- the search engine performs real-time search according to the user-input key word, and determines the heat requirement according to the user-input instruction.
- the search engine may display an optional heat requirement to the user according to the user's instruction for the user's selection; the search engine selects recommended content from the search results according to the heat requirement selected by the user.
- real-time search is performed according to the user's key word, a search result is pushed to the user, and the user may obtain the desired information in time.
- statistics is performed for the access heat of each content in the current search results, content whose access heat meets the heat requirement is obtained from the current search results and pushed to the user as the pushed content, and this is equivalent to screening the search results. This may reduce the number of search results pushed to the user, reduce network resources consumed in pushing the search result to the user, and facilitate the saving of the user's network resources.
- FIG. 2 is a block diagram of an apparatus for pushing search results according to an embodiment of the present disclosure.
- the apparatus comprises: a searching module 21 , a statistics module 22 , an obtaining module 23 and a pushing module 24 .
- the searching module 21 is configured to perform real-time search according to the user's key word to obtain current search results.
- the statistics module 22 is configured to perform statistics of access heat of each content in the current search results obtained by the searching module 21 .
- the obtaining module 23 is configured to, from the current search results, content whose access heat obtained by the statistic module 22 meets heat requirements, as content to be pushed.
- the pushing module 24 is configured to push the content to be pushed obtained by the obtaining module 23 to the user.
- the apparatus further comprises a judging module 25 .
- the judging module 25 is configured to judge whether the current search results obtained by the searching module 21 have new content as compared with at least one search result before the current search results obtained by the searching module 21 , and if the judgment result is yes, trigger the statistics module 22 to execute the operation of performing statistics of the access heat of each content in the current search results.
- the statistics module 22 may be specifically configured to:
- the obtaining module 23 is specifically configured to:
- the apparatus further comprises a deduplication module 26 .
- the deduplication module 26 is configured to perform deduplication processing for the at least one search result before the current search results before the judging module 25 judges whether the current search results obtained by the searching module 21 have new content as compared with at least one search result before the current search results obtained by the searching module 21 .
- the at least one search result before the current search results is a first search result obtained by performing real-time search according to the user's key word.
- the statistics module 22 may be specifically configured to execute at least one of the following operations:
- the apparatus further comprises a determining module 27 .
- the determining module 27 is configured to determine the heat requirement according to the user's instruction before the obtaining module 23 obtains, from the current search results, content whose access heat obtained by the statistics module 22 meets the heat requirements as the content to be pushed.
- the apparatus further comprises a receiving module 28 .
- the receiving module 28 is configured to receive the user-input key word and receive the user-input instruction before the searching module 21 performs real-time search according to the user's key word.
- the receiving module 28 is connected with the determining module 27 to provide the user's instruction to the determining module 27 .
- the apparatus for pushing the search result according to the present embodiment may be implemented a functional module in the search engine, or be independent on the search engine but connected with the search engine.
- the apparatus for pushing the search result performs real-time search according to the user's key word and pushes a search result to the user, and the user may obtain the desired information in time.
- statistics is performed for the access heat of each content in the current search results, content whose access heat meets the heat requirement is obtained from the current search results and pushed to the user as the pushed content, and this is equivalent to screening the search results.
- This may reduce the number of search results pushed to the user, reduce network resources consumed in pushing the search result to the user, and facilitate the saving of the user's network resources.
- the revealed system, apparatus and method can be implemented in other ways.
- the above-described embodiments for the apparatus are only exemplary, e.g., the division of the units is merely logical one, and, in reality, they can be divided in other ways upon implementation.
- a plurality of units or components may be combined or integrated into another system, or some features may be neglected or not executed.
- mutual coupling or direct coupling or communicative connection as displayed or discussed may be indirect coupling or communicative connection performed via some interfaces, means or units and may be electrical, mechanical or in other forms.
- the units described as separate parts may be or may not be physically separated, the parts shown as units may be or may not be physical units, i.e., they can be located in one place, or distributed in a plurality of network units. One can select some or all the units to achieve the purpose of the embodiment according to the actual needs.
- the aforementioned integrated unit in the form of software function units may be stored in a computer readable storage medium.
- the aforementioned software function units are stored in a storage medium, including several instructions to instruct a computer device (a personal computer, server, or network equipment, etc.) or processor to perform some steps of the method described in the various embodiments of the present disclosure.
- the aforementioned storage medium includes various media that may store program codes, such as U disk, removable hard disk, read-only memory (ROM), a random access memory (RAM), magnetic disk, or an optical disk.
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Abstract
Description
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Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510390587.6A CN105095399B (en) | 2015-07-06 | 2015-07-06 | Search result push method and device |
| CN201510390587.6 | 2015-07-06 | ||
| PCT/CN2015/094527 WO2017004921A1 (en) | 2015-07-06 | 2015-11-13 | Search result pushing method, device and apparatus, and non-volatile computer storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| US20170364592A1 US20170364592A1 (en) | 2017-12-21 |
| US11294966B2 true US11294966B2 (en) | 2022-04-05 |
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| US15/534,452 Active 2037-09-14 US11294966B2 (en) | 2015-07-06 | 2015-11-13 | Method and apparatus for pushing search results, an apparatus and non-volatile computer storage medium |
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| US (1) | US11294966B2 (en) |
| CN (1) | CN105095399B (en) |
| WO (1) | WO2017004921A1 (en) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107194572A (en) * | 2017-05-18 | 2017-09-22 | 广东中科国志科技发展有限公司 | Method and device for technology assessment |
| CN110020095A (en) * | 2017-07-21 | 2019-07-16 | 北京搜狗科技发展有限公司 | Temperature based reminding method, device and the device reminded for temperature |
| CN109981695B (en) * | 2017-12-27 | 2021-03-26 | Oppo广东移动通信有限公司 | Content pushing method, device and equipment |
| CN110008403B (en) * | 2019-03-05 | 2021-05-28 | 百度在线网络技术(北京)有限公司 | Target information sorting method, sorting system, recommendation method and recommendation system |
| CN111666486B (en) * | 2019-03-07 | 2023-10-03 | 腾讯科技(深圳)有限公司 | Method and device for acquiring heat value |
| CN110222156B (en) * | 2019-06-14 | 2021-11-16 | 北京百度网讯科技有限公司 | Method and device for discovering entity, electronic equipment and computer readable medium |
| CN110351371A (en) * | 2019-07-15 | 2019-10-18 | 星联云服科技有限公司 | A kind of method and system carrying out data-pushing in cloud storage system |
| CN111524518B (en) * | 2020-04-01 | 2023-04-18 | Oppo广东移动通信有限公司 | Augmented reality processing method and device, storage medium and electronic equipment |
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Also Published As
| Publication number | Publication date |
|---|---|
| CN105095399A (en) | 2015-11-25 |
| CN105095399B (en) | 2019-06-28 |
| US20170364592A1 (en) | 2017-12-21 |
| WO2017004921A1 (en) | 2017-01-12 |
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